Fuzzy logic to optimize traffic signal control in a congested area / Nor Suhaili Abdul Aziz and Noraini Noordin
Traffic congestion is a critical problem to road users worldwide. The present traffic signal control system in Malaysia has not produced optimal solutions for existing traffic congestions. This case study was carried out to test if applying fuzzy logic to traffic signal controllers can optimally sol...
Saved in:
Main Authors: | Abdul Aziz, Nor Suhaili Abdul Aziz, Noordin, Noraini |
---|---|
Format: | Article |
Language: | English |
Published: |
Universiti Teknologi MARA, Perlis
2019
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/58707/1/58707.pdf https://ir.uitm.edu.my/id/eprint/58707/ https://myjms.mohe.gov.my/index.php/intelek |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Minimization traffic congestion with smart traffic light by using fuzzy logic / Sharifah Fhahriyah Syed Abas and Nur Qurratu’ Aini Jefrydin
by: Syed Abas, Sharifah Fhahriyah, et al.
Published: (2023) -
Identification of signal quality around UiTM main campus / Muhammad Aizzad Mushaimi
by: Mushaimi, Muhammad Aizzad
Published: (2010) -
Short term load forecasting using fuzzy logic in UiTM Shah Alam / Mohamad Azrul Abd Aziz
by: Abd Aziz, Mohamad Azrul
Published: (2013) -
Digital Signal Processing
by: Yogeswaran, Seleappan
Published: (2011) -
Segmentation of heart sound signal into cycles based on time properties of the heart sound
by: Mohd Zubir, Suboh, et al.
Published: (2012)